Prof. David Tax from TU Delft in Netherlands

David TaxProfessor David Tax will be a guest of Wroclaw University of Technology from 29.06 to 04.07.2014.

David M.J. Tax studied physics at the University of Nijmegen, The Netherlands, in 1996, and received Master degree with the thesis “Learning of structure by Many-take-all Neural Networks”. After that he had his Ph.D. at the Delft University of Technology in the Pattern Recognition group, under the supervision of R.P.W. Duin. In 2001 he promoted with the thesis “One-class classification”. After working for two years as a Marie Curie Fellow in the Intelligent Data Analysis group in Berlin, at present he is assistant professor in the Pattern Recognition Laboratory at the Delft University of Technology. His main research interest is in the learning and development of detection algorithms and (one-class) classifiers that optimize alternative performance criteria like ordering criteria using the Area under the ROC curve or a Precision–Recall graph. Furthermore, the problems concerning the representation of data, multiple instance learning, simple and elegant classifiers and the fair evaluation of methods have focus.